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  {
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   "source": [
    "import os\n",
    "import requests\n",
    "import json\n",
    "from typing import List\n",
    "from dotenv import load_dotenv\n",
    "from bs4 import BeautifulSoup\n",
    "from IPython.display import Markdown, display, update_display, clear_output\n",
    "import openai\n",
    "\n",
    "load_dotenv(override=True)\n",
    "api_key = os.getenv('OPENAI_API_KEY')\n",
    "\n",
    "if api_key and api_key.startswith('sk-proj-') and len(api_key)>10:\n",
    "    print(\"API key looks good so far\")\n",
    "else:\n",
    "    print(\"There might be a problem with your API key? Please visit the troubleshooting notebook!\")\n",
    "\n",
    "MODEL = 'gpt-4o-mini'\n",
    "\n",
    "headers = {\n",
    " \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n",
    "}\n",
    "\n",
    "# Prompt user for company name and URL\n",
    "company_name = input(\"Enter the company name: \")\n",
    "url = input(\"Enter the company URL: \")\n",
    "\n",
    "class Website:\n",
    "    \"\"\"\n",
    "    A utility class to represent a Website that we have scraped, now with links\n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(self, url):\n",
    "        self.url = url\n",
    "        response = requests.get(url, headers=headers)\n",
    "        self.body = response.content\n",
    "        soup = BeautifulSoup(self.body, 'html.parser')\n",
    "        self.title = soup.title.string if soup.title else \"No title found\"\n",
    "        if soup.body:\n",
    "            for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n",
    "                irrelevant.decompose()\n",
    "            self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n",
    "        else:\n",
    "            self.text = \"\"\n",
    "        links = [link.get('href') for link in soup.find_all('a')]\n",
    "        self.links = [link for link in links if link]\n",
    "\n",
    "    def get_contents(self):\n",
    "        return f\"Webpage Title:\\n{self.title}\\nWebpage Contents:\\n{self.text}\\n\\n\"\n",
    "# multi-shot prompt\n",
    "link_system_prompt = \"You are provided with a list of links found on a webpage. \\You are able to decide which of the links would be most relevant to include in a brochure about the company, \\such as links to an About page, or a Company page, or Careers/Jobs pages.\\n\"\n",
    "link_system_prompt += \"You should respond in JSON as in this example:\"\n",
    "link_system_prompt += \"\"\"\n",
    "    EXAMPLE 1:\n",
    "    {\n",
    "        \"links\": [\n",
    "            {\"type\": \"about page\", \"url\": \"https://full.url/goes/here/about\"},\n",
    "            {\"type\": \"careers page\", \"url\": \"https://another.full.url/careers\"}\n",
    "        ]\n",
    "    }\n",
    "    EXAMPLE 2:\n",
    "    {\n",
    "        \"links\": [\n",
    "            {\"type\": \"company blog\", \"url\": \"https://blog.example.com\"},\n",
    "            {\"type\": \"our story\", \"url\": \"https://example.com/our-story\"}\n",
    "        ]\n",
    "    }\n",
    "    \"\"\"\n",
    "\n",
    "def get_links_user_prompt(website):\n",
    "    user_prompt = f\"Here is the list of links on the website of {website.url} - \"\n",
    "    user_prompt += \"please decide which of these are relevant web links for a brochure about the company, respond with the full https URL in JSON format. \\ Do not include Terms of Service, Privacy, email links.\\n\"\n",
    "    user_prompt += \"Links (some might be relative links):\\n\"\n",
    "    user_prompt += \"\\n\".join(website.links)\n",
    "    return user_prompt\n",
    "\n",
    "\n",
    "def get_links(url):\n",
    "    website = Website(url)\n",
    "    response = openai.chat.completions.create(\n",
    "        model=MODEL,\n",
    "        messages=[\n",
    "            {\"role\": \"system\", \"content\": link_system_prompt},\n",
    "            {\"role\": \"user\", \"content\": get_links_user_prompt(website)}\n",
    "      ],\n",
    "        response_format={\"type\": \"json_object\"}\n",
    "    )\n",
    "    result = response.choices[0].message.content\n",
    "    return json.loads(result)\n",
    "\n",
    "def get_all_details(url):\n",
    "    result = \"Landing page:\\n\"\n",
    "    result += Website(url).get_contents()\n",
    "    links = get_links(url)\n",
    "\n",
    "    for link in links[\"links\"]:\n",
    "        result += f\"\\n\\n{link['type']}\\n\"\n",
    "        result += Website(link[\"url\"]).get_contents()\n",
    "    return result\n",
    "\n",
    "# set format to json_object\n",
    "system_prompt = (\n",
    "    \"You are an assistant that analyzes the contents of several relevant pages from a company website \"\n",
    "    \"and creates a short tempered, irritated, disappointed in the world type of brochure about the company for prospective customers, investors, and recruits. \"\n",
    "    \"Respond in markdown. Include details of company culture, customers, and careers/jobs if you have the information. Add emoticons where ever possible.\\n\\n\"\n",
    "\n",
    "    \"Please structure the brochure using the following sections:\\n\"\n",
    "    \"1. **Introduction**: A brief overview of the company.\\n\"\n",
    "    \"2. **Company Culture**: Emphasize fun, atmosphere, and any unique cultural elements.\\n\"\n",
    "    \"3. **Customers**: Mention notable customers or industries.\\n\"\n",
    "    \"4. **Careers/Jobs**: Highlight career opportunities.\\n\"\n",
    "    \"5. **Conclusion**: Wrap up with a final lighthearted message.\\n\"\n",
    "    \"6. Finish the brochure with a very sarcastic and pun-intended mission statement.\\n\"\n",
    ")\n",
    "\n",
    "def get_brochure_user_prompt(company_name, url):\n",
    "    user_prompt = f\"You are looking at a company called: {company_name}\\n\"\n",
    "    user_prompt += f\"Here are the contents of its landing page and other relevant pages; use this information to build a short brochure of the company in markdown.\\n\"\n",
    "    user_prompt += get_all_details(url)\n",
    "    user_prompt = user_prompt[:20_000]\n",
    "    return user_prompt\n",
    "\n",
    "def stream_brochure():\n",
    "    global brochure_text  # Access the global variable\n",
    "    brochure_text = \"\"    # Initialize\n",
    "    \n",
    "    stream = openai.chat.completions.create(\n",
    "        model=MODEL,\n",
    "        messages=[\n",
    "            {\"role\": \"system\", \"content\": system_prompt},\n",
    "            {\"role\": \"user\", \"content\": get_brochure_user_prompt(company_name, url)}\n",
    "        ],\n",
    "        stream=True\n",
    "    )\n",
    "    \n",
    "    response = \"\"\n",
    "    display_handle = display(Markdown(\"\"), display_id=True)\n",
    "    for chunk in stream: \n",
    "        content = chunk.choices[0].delta.content or ''\n",
    "        response += content\n",
    "        brochure_text += content  # Accumulate the text\n",
    "        response = response.replace(\"```\",\"\").replace(\"markdown\", \"\")\n",
    "        update_display(Markdown(response), display_id=display_handle.display_id)\n",
    "\n",
    "def user_translate_brochure(lang):\n",
    "    # Clear previous output\n",
    "    clear_output(wait=True)\n",
    "    \n",
    "    # Stream #2: translate accumulated text\n",
    "    translation_stream = openai.chat.completions.create(  # Changed from ChatCompletion\n",
    "        model=MODEL,\n",
    "        messages=[\n",
    "            {\"role\": \"user\", \"content\": f\"Translate the following to {lang}:\\n\\n{brochure_text}\"}\n",
    "        ],\n",
    "        stream=True\n",
    "    )\n",
    "    \n",
    "    # Setup display for streaming translation\n",
    "    display_handle = display(Markdown(\"\"), display_id=True)\n",
    "    translated_text = \"\"\n",
    "    \n",
    "    for chunk in translation_stream:\n",
    "        content = chunk.choices[0].delta.content or \"\"\n",
    "        if content:\n",
    "            translated_text += content\n",
    "            update_display(Markdown(translated_text), display_id=display_handle.display_id)\n",
    "\n",
    "# stream the brochure in english\n",
    "stream_brochure()\n",
    "\n",
    "# prompt user for language choice\n",
    "language_choice = input(\"Enter the language to translate the brochure into (e.g., 'French'): \")\n",
    "\n",
    "# translate the brochure and stream the translation\n",
    "user_translate_brochure(language_choice)"
   ]
  }
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